References

• 2017A boosted decision tree approach using Bayesian hyper-parameter optimization for credit scoring770 cited
• 2005Building credit scoring models using genetic programming356 cited
• 2016A comparative study on base classifiers in ensemble methods for credit scoring248 cited
• 2020A new deep learning ensemble credit risk evaluation model with an improved synthetic minority oversampling technique234 cited
• 2016Classifiers consensus system approach for credit scoring202 cited
• 2019Application of new deep genetic cascade ensemble of SVM classifiers to predict the Australian credit scoring176 cited
• 2016A new hybrid ensemble credit scoring model based on classifiers consensus system approach161 cited
• 2017Cost-based feature selection for Support Vector Machines: An application in credit scoring155 cited
• 2015Predicting Credit Risk in Peer-to-Peer Lending: A Neural Network Approach152 cited
• 2019DGHNL: A new deep genetic hierarchical network of learners for prediction of credit scoring152 cited
• 2019An Empirical Comparison of Machine-Learning Methods on Bank Client Credit Assessments143 cited
• 2018A novel multi-stage hybrid model with enhanced multi-population niche genetic algorithm: An application in credit scoring139 cited
• 2017Reject inference in credit scoring using Semi-supervised Support Vector Machines132 cited
• 2020